
1001 - 5000 employees
Founded 1999
💼 Consulting
🤝 B2B
🤖 Artificial Intelligence
Consulting • B2B • Artificial Intelligence
Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.
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1001 - 5000 employees
Founded 1999
💼 Consulting
🤝 B2B
🤖 Artificial Intelligence
Consulting • B2B • Artificial Intelligence
Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.
• Understand customer journeys and pain points to create intuitive solutions across multiple touchpoints and user contexts • Contribute throughout the product lifecycle from discovery and prototyping through delivery and continuous improvement • Design holistic experiences with functional interactions, visual design, and micro-interactions aligned with design system and brand standards • Communicate the rationale behind design decisions using data, research insights, and design principles • Partner with UX Researchers to interpret research findings and translate insights into actionable design improvements • Contribute to and leverage the design system, ensuring consistency, accessibility, and scalability across products • Identify opportunities for component creation or evolution • Establish and socialize best practices, governance standards, and processes for design documentation, asset management, and cross-team collaboration • Stay current with emerging UX trends, interaction patterns, accessibility standards, AI-assisted design tools, and technology shifts, and recommend improvements • Collaborate with researchers, product managers, engineers, and stakeholders to integrate UX design into agile product development and ensure design feasibility • Report to the UX Design Manager
• 6+ years related UX design experience with a portfolio demonstrating enterprise product work, design system contributions, and measurable impact on user outcomes • Proven ability to design for enterprise products, applying elegant solutions to complex, multi-user scenarios with demonstrable examples of systems-level thinking and scalable design patterns • Expert proficiency in Figma (or equivalent design tools) for wireframing, prototyping, design system contributions, and collaborative design workflows • Experience working in Agile environments, participating in sprint planning, design critiques, backlog refinement, and iterative delivery cycles • Strong understanding of user research and testing methodologies, with the ability to interpret qualitative and quantitative data into actionable design recommendations • Analytical and problem-solving skills across products, platforms, and organizational architectures, identifying systemic issues and proposing holistic solutions • Ability to communicate design rationale effectively, presenting user experience data, design proposals, and trade-offs to influence stakeholders at all levels • Mastery of the UX design process, including product definition, discovery, analysis, design execution, validation, and post-launch optimization • Fluency with design systems, including contributing components, maintaining design tokens, collaborating with engineers on implementation, and ensuring WCAG AA minimum accessibility compliance • Comfort with ambiguity and complexity, balancing competing priorities, navigating organizational constraints, and advocating for user needs within business realities • Familiarity with AI and emerging technologies related to UX, including conversational interfaces, personalization, automation, and ethical considerations in AI-assisted design
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